Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems

Ahmed Qarqour, Ahmed Qarqour, Sahil-Jai Arora, Sahil-Jai Arora, Gernot Heisenberg, Markus Rabe, Tobias Kleinert

2024

Abstract

In response to the pressing global challenge of climate change, the emphasis on sustainable energy technologies has escalated, spotlighting the critical role of heat pump systems as eco-friendly alternatives for heating and cooling. These systems stand at the forefront of efforts to reduce greenhouse gas emissions and improve energy efficiency. The advent of Internet of Things (IoT) technology has unlocked the potential for comprehensive data collection on the operational intricacies of heat pump systems in real-world settings, offering precious insights into their performance and guiding technological advancements. This paper introduces an analytical approach to optimize air-to-water heat pump systems using time series data from Bosch Home Comfort Group's systems. Utilizing Fayyad's data-driven analysis model and the Random Forest algorithm, the study tackles system behavior complexities. Characterized by interpretability crucial for application, it achieves a 97.6% fault detection accuracy. The method encounters difficulties in accurately predicting compressor control faults due to limited data quality and a lack of comprehensive system information. The findings highlight IoT's potential to enhance system efficiency and availability, but also point to the limitations of relying solely on data-driven models for fault prediction in field systems.

Paper Citation

in Harvard Style

Qarqour A., Arora S., Heisenberg G., Rabe M. and Kleinert T. (2024). Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 200-209. DOI: 10.5220/0012876200003838

in Bibtex Style

@conference{kdir24,
author={Ahmed Qarqour and Sahil-Jai Arora and Gernot Heisenberg and Markus Rabe and Tobias Kleinert},
title={Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={200-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012876200003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems
SN - 978-989-758-716-0
AU - Qarqour A.
AU - Arora S.
AU - Heisenberg G.
AU - Rabe M.
AU - Kleinert T.
PY - 2024
SP - 200
EP - 209
DO - 10.5220/0012876200003838
PB - SciTePress